2

Design and implementation of a prototype radiotherapy menu in a patient portal

This paper describes the prototype radiotherapy menu that Kayla O'Sullivan-Steben built for the Opal patient portal as part of her MSc thesis project at McGill University

Experimental validation of a novel method of dose accumulation for the rectum

This paper describes how Haley built a simple phantom and used film dosimetry to experimentally validate her rtdsm dose-surface mapping software.

A Scalable Radiomics- and Natural Language Processing–Based Machine Learning Pipeline to Distinguish Between Painful and Painless Thoracic Spinal Bone Metastases: Retrospective Algorithm Development and Validation Study

This paper how Hossein combined radiomics and NLP to train an AI model to distinguish metastatic bone lesions from healthy bone.

A study of indirect action's impact on simulated neutron-induced DNA damage

This paper describes the work undertaken by James during his MSc project, simulating the indirect action of neutron radiation on DNA.

An open-source software for radiotherapy dose-surface map generation and analysis

This paper presents a rtdsm, a dose-surface-mapping software package that Haley Patrick developed as part of her PhD research project.

An open-source softwaretool for dose-surface map generation and analysis

An open-source softwaretool for dose-surface map generation and analysis

Demonstrating the power and potential of dose-surface maps to investigate spatial effects of treatment planning parameters on delivered dose to the rectum

This paper presents a COMP, demonstrating the power and potential of dose-surface maps to investigate spatial effects of treatment planning parameters on delivered dose to the rectum.

Radiomics-based machine learning models to distinguish between metastatic and healthy bone using lesion-center-based geometric regions of interest

This paper presents a novel methodology to distinguish between metastatic and healthy bone lesions using lesion-center-based geometric regions of interest, radiomics, and machine learning.

Striving to Fill in Gaps between Clinical Practice and Standards-The Evolution of a Pan-Canadian Approach to Patient-Reported Outcomes Use

This paper describes the pan-Canadian efforts of the Canadian Partnership for Quality Radiotherapy to champion the use of patient-reported outcomes in Canadian radiation oncology practice.

High-Accuracy Relative Biological Effectiveness Values Following Low-Dose Thermal Neutron Exposures Support Bimodal Quality Factor Response with Neutron Energy

This paper examines the relative biological effectiveness of DNA damage generated by thermal neutrons compared to gamma radiation. It uses experimental data gathered using the 64 meV neutron beam at the National Research Universal reactor at Canadian Nuclear Labs.